WO2023224191A1

WO2023224191A1 - Skin surface displacement-based device factor calculation system

Info

Publication number: WO2023224191A1
Application number: PCT/KR2022/017758
Authority: WO
Inventors: 안가람
Original assignee: 안가람
Priority date: 2022-05-20
Filing date: 2022-11-11
Publication date: 2023-11-23

Abstract

The present invention relates to a skin surface displacement-based device factor calculation system and, more specifically, to a skin surface displacement-based device factor calculation system wherein the distribution of displacement and the size of an actually contracted dermal area are calculated by deriving displacement data around a dermal coagulation spot from images of an area captured before and after the dermal coagulation spot is formed therein. The system comprises: a pre-processing unit for pre-processing skin landmarks as location data by using, as an input, images captured before and after a skin procedure performed through an energy-based medical device; a displacement calculating unit for deriving landmark displacement data from the landmark location data of the skin derived by the pre-processing unit and deriving location data of a contraction center (O), on the basis of the landmark displacement data; and a boundary deriving unit for deriving the boundary of a contraction area from the procedure contraction center (O) of the skin.

Description

Skin surface displacement-based device parameter calculation system

The present invention relates to a device parameter calculation system based on skin surface displacement, and more specifically, by deriving displacement data around the coagulation spot from images taken before and after the creation of a coagulation spot on the skin, and determining the size of the contraction area caused by the coagulation spot and This relates to a device parameter calculation system based on skin surface displacement that calculates shape.

The number of consumers visiting dermatologists for skin treatments such as lifting procedures due to sagging skin continues to increase. This is because the skin treatment has a relatively short recovery period compared to plastic surgery and allows for effective facial wrinkle lifting (i.e., skin area shrinkage).

Here, an energy-based medical device for shrinking the skin area forms a coagulation area centered on a target point on the skin. To explain in more detail, the reticular dermis is made up of spiral-shaped collagen bundles, which are arranged in a direction parallel to the skin surface, and when heat coagulated, each bundle becomes shorter as the spiral structure unravels and tangles. Lose. When energy is applied to a point in the reticular dermal layer to form a coagulation spot, the reticular dermal layer within the range where coagulation occurs around that point contracts and contracts in the direction toward the coagulation point in a plane parallel to the skin surface. form an area. When multiple such coagulation points are formed, an immediate reduction in area of the area containing the coagulation points is expected, so energy-based medical devices use this principle to shrink the skin in a plane to achieve a cosmetic effect. .

However, when performing the procedure on actual patients, there is a limitation that the effect is not consistent. In other words, the efficiency of planar contraction of the skin through inducing multiple dermal coagulation points is not consistent in reality. If the coagulation areas do not contact each other and are separated, the uncoagulated skin in between increases (compensatory expansion), reducing the overall area reduction effect. Conversely, if overlap between coagulation regions occurs, there is a risk that the temperature will rise too much (e.g., over about 80 degrees Celsius) and the covalent bonds inside the collagen molecule will break down and dissolve. In addition, even if adjacent coagulation areas are intended to be in contact with each other, the contraction area caused by one coagulation point varies depending on various factors such as the patient receiving the procedure, area, output of the device, depth, and angle. There is currently no way to immediately identify the size and shape of .

Therefore, theoretically, in order to optimize the effect of reducing skin area using energy-based devices, a technology is needed to determine the size and shape of the shrinkage area created by a single coagulation point. In other words, it should be possible to control the location or output of adjacent solidification points through information on the size and shape of the shrinkage area generated by each solidification point found through the above technology. However, at present, in these procedures, the judgment of the size and shape of the contraction area generated by each coagulation point, the distance between coagulation points, and the adjustment of the output of the device relies on the operator's intuition, so the efficiency, reproducibility, and safety of the procedure are limited. There are limitations in terms of

Accordingly, the present invention takes this problem into consideration, and the present invention provides a skin surface displacement-based device parameter calculation system that calculates the size of the contraction area generated by the coagulation point by inputting information on the skin surface before and after the formation of the coagulation point of the skin. The purpose is to

In order to achieve the above object, the skin surface displacement-based device parameter calculation system according to the technical idea of the present invention takes as input images taken before and after skin treatment using an energy-based medical device, and A preprocessing unit that preprocesses skin landmarks in images taken before and after the procedure into location data; A displacement calculation unit that derives landmark displacement data from the landmark position data of the skin derived from the pre-processing unit and derives position data of the center of contraction (O) based on the landmark displacement data; It may be characterized as including; a boundary deriving unit that derives the boundary of the shrinkage area from the treatment shrinkage center (O) of the skin.

The energy based medical device applies energy to one focus of the skin to cause a local temperature increase to generate a contraction area based on one focus of the skin, and uses high-frequency, laser, and high-intensity focused ultrasound devices ( It may be characterized as including HIFU (High-intensity focused ultrasound);

The skin landmark is a reference point that allows tracking the change in position of the skin treatment target area before and after the treatment in images taken before and after the skin treatment using the energy based medical device, and is a pigment It may be characterized as including dots or lines indicated by, sweat glands, hair glands, sebaceous glands, pigmented lesions, moles, skin tumors, blood vessels, and wrinkle lines on the skin surface.

The pre-processing unit calculates and stores location data (A) of landmarks on the skin surface before the skin treatment from the image taken before the skin treatment, and the positions of the landmarks before the skin treatment on the skin surface are changed by the skin treatment. It may be characterized by calculating and storing location data (B) of landmarks after the skin treatment on the skin surface in the captured image after the skin treatment as it moves to the center of contraction (O).

The preprocessor represents the location data (A) of landmarks before the skin treatment on the skin surface as A[(i, j)ij], and represents the position data (B) of the landmarks after the skin treatment on the skin surface as B. It may be characterized as including what is represented by [(i', j')ij].

The displacement calculation unit converts the landmark displacement data (D) into a displacement vector reflecting the result of the location data of the skin landmark derived from the pre-processing unit moving from the pre-treatment location data of the skin to the post-treatment location data. Calculate, and (D) may be characterized as [(i' - i, j' - j)ij].

The boundary derivation unit passes the center of contraction (O) corresponding to the location of the focus where energy is applied by the energy-based medical device based on the landmark displacement data.

a graph drawing unit that derives a graph of the displacement of each point toward the center of contraction (O) for each position on a straight line passing at an angle; It may be characterized by including a boundary calculation unit that calculates the distance (R) from the shrinkage center (O) to the boundary of the shrinkage area, based on the graph analysis result data derived from the graph derivation unit.

The graph derivation unit sets the position data of the center of contraction (O) corresponding to the location of the focus where energy is applied by the energy-based medical device based on the landmark displacement data (D), and the center of contraction (O) The position data is the location of the point where the landmark points on the skin surface were commonly oriented during skin coagulation following the procedure, and the points corresponding to each element (i, j) ij of (A) are the landmark displacement data. element of (D)

It may be characterized by setting the position of the intersection of straight lines passing in the direction of the ij vector as (io, jo).

The graph deriving part is the desired angle (O) of the treatment contraction center (O) of the skin.

), a graph of the displacement after the procedure is derived for the distance from the center of contraction (O) before the procedure for each landmark on the straight line passing through ), and based on the center of contraction (O) (io, jo, 0) of the skin, i It moves in parallel by -io on the axis and -jo on the j-axis, and the angle passing through the center of treatment contraction (O) of the skin on the k-axis (

), it can be characterized as deriving a graph of k against i in the ik plane (j = 0).

The boundary calculation unit is a horizontal line passing through the center of treatment contraction (O) of the skin (

= 0) Derive a regression curve graph of the distance each point moves toward the treatment shrinkage center (O) of the skin for each location on the regression curve, from the shrinkage center (O) to the point where the slope of the tangent is 0. Based on the distance and approximation of , the distance from the center of contraction (O) to the border (R) of the contraction area can be calculated from the image taken before the procedure.

According to the skin surface displacement-based device factor calculation system described above,

First, using energy-based medical devices, it is possible to derive the displacement of each point on the skin surface that contracts during treatment at one focus of the skin.

Second, the location of the center of contraction caused by the procedure can be derived based on photos taken before and after the procedure.

Third, based on the data derived above, the pattern of skin contraction caused by the procedure can be quantitatively expressed.

Fourth, the pattern of skin contraction, which varies depending on the patient receiving the procedure and the area, and the type and output of the device, can be quantitatively expressed each time the system is applied.

Fifth, during the above procedure, the data necessary to derive the optimal next treatment location or treatment output can be generated based on mathematical calculations rather than the operator's intuition.

Sixth, by combining the distribution information on the contraction pattern of the skin of various areas in one treatment subject, we calculate and propose a two-dimensional arrangement and order of several treatment points to realize changes to the desired appearance by manipulating the position of each skin point. can do.

1 is a configuration diagram of the present invention.

Figures 2 and 3 are schematic diagrams of landmarks of the skin, a diagram of the helical structure of collagen in the skin, and examples of contraction when a coagulation area occurs in the skin.

Figure 4 is a schematic diagram of the skin contraction area caused by the coagulation range of the reticular dermal layer of the skin when energy is irradiated to the skin using an energy-based medical device.

Figures 5 and 6 illustrate that when attempting to reduce the area of the skin by generating multiple coagulation points, safety and area reduction efficiency may vary depending on the distance between adjacent coagulation points.

Figure 7 is a schematic diagram of a process by which the preprocessor 100 calculates location data according to an embodiment of the present invention.

Figure 8 is a schematic diagram of a process by which the displacement calculation unit 200 calculates displacement data (D) according to an embodiment of the present invention.

Figure 9 is a configuration diagram of the boundary derivation unit 300 according to an embodiment of the present invention.

Figure 10 is a process diagram of the graph deriving unit 300a calculating the position of the center of contraction (O) according to an embodiment of the present invention.

Figure 11 is a graph of the graph deriving unit 300a according to an embodiment of the present invention.

Figure 12 is a process diagram of the boundary calculation unit 300b calculating the size and shape of the contracted area according to an embodiment of the present invention.

Figure 13 shows that the angle of a straight line passing through the center of contraction according to an embodiment of the present invention is 0 (

= 0), the calculation process diagram.

A device parameter calculation system based on skin surface displacement according to embodiments of the present invention will be described in detail with reference to the attached drawings. Since the present invention can be subject to various changes and can have various forms, specific embodiments will be illustrated in the drawings and described in detail in the text. However, this is not intended to limit the present invention to a specific disclosed form, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention. While describing each drawing, similar reference numerals are used for similar components. In the attached drawings, the dimensions of the structures are enlarged from the actual size for clarity of the present invention, or reduced from the actual size to understand the schematic configuration.

Additionally, terms such as first and second may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be named a second component, and similarly, the second component may also be named a first component without departing from the scope of the present invention. Meanwhile, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the present application, should not be interpreted in an ideal or excessively formal sense. No.

The present invention relates to a device parameter calculation system based on skin surface displacement. More specifically, the coagulation range caused by the coagulation spot is derived by deriving displacement data around the coagulation spot from images taken before and after the coagulation spot is created on the skin. It relates to a device factor calculation system based on skin surface displacement that calculates the size and shape of. Therefore, the present invention helps optimize treatment factors such as the distance between adjacent coagulation points and the output of the device during cosmetic procedures using energy-based medical devices by calculating the size and shape of the coagulation range through skin surface information before and after the coagulation point occurs. I want to give.

1 is a configuration diagram of the present invention.

Referring to Figure 1, the skin surface displacement-based device parameter calculation system includes a preprocessor 100, a displacement calculation unit 200, and a boundary derivation unit 300. The preprocessing unit 100 receives images taken before and after a skin treatment using an energy based medical device as input, and preprocesses landmarks of the skin in the images taken before and after the skin treatment into location data. The displacement calculation unit 200 derives landmark displacement data from the landmark position data of the skin derived from the preprocessor 100, derives position data of the center of contraction (O) based on the landmark displacement data, and determines the boundary The derivation unit 300 derives the boundary of the contraction area from the treatment contraction center (O) of the skin.

That is, to explain in more detail, the preprocessor 100 inputs images taken before and after the procedure in which the energy-based medical device generates a coagulation point by applying energy to one focus of the skin. In this way, the skin landmark location data before and after the coagulation point occurs is calculated (preprocessed). Afterwards, the displacement calculation unit 200 calculates displacement data of the skin landmark based on changes in the landmark position data before and after the procedure, and calculates contraction center (O) position data from the landmark position data and the displacement data. It is derived by doing this. Finally, the boundary calculation unit 300 calculates the distance (R) from the shrinkage center (O) to the boundary of the shrinkage area based on the position data, the displacement data, and the position data of the shrinkage center (O). Here, the energy based medical device applies energy to one focus of the skin to cause a local temperature increase, generates a contraction area based on one focus of the skin, and delivers physical energy to body tissues. Examples of medical devices that cause changes in tissue include high frequency, laser, and high-intensity focused ultrasound (HIFU) devices.

Referring to FIG. 2, the skin landmark is a reference point that enables tracking the change in position of the skin treatment target area before and after the treatment in images taken before and after the skin treatment using the energy based medical device. (point) includes points or lines marked with pigment, sweat glands, hair glands, sebaceous glands, pigmented lesions, moles, skin tumors, blood vessels, and wrinkle lines on the skin surface. Referring to Figure 3, there is a reticular dermal layer filled with collagen bundles in the deep layer of the skin surface. The reticular dermal layer is composed of spiral collagen bundles, and these collagen bundles are arranged in a direction parallel to the skin surface, each When the bundle is heat-coagulated, the helical structure unravels and becomes tangled, making it shorter. When energy is applied to a point in the reticular dermal layer to form a coagulation spot, the reticular dermal layer within the range where coagulation occurred around that point contracts in the direction toward the coagulation point in a plane parallel to the skin surface. And the area of contraction caused by one coagulation point varies depending on several factors, such as the patient receiving the procedure, the area, the output of the device, depth, and angle.

Referring to Figure 4, when energy is applied to one focus of the reticular dermis by the energy-based medical device to form a coagulation point, the angle (

A shrinkage area is formed within a distance (R) that can vary depending on ). Within the contraction area, each point on the skin surface moves toward the center of contraction (O), and the density of these points increases, causing the distance between adjacent points to become closer. And as the contraction region occurs, the distance (R) from the contraction center (O) to the boundary of the contraction region becomes shorter (R'< R). Conversely, at each point outside the distance (R), that is, at a point outside the contraction area, the density of each point on the skin surface decreases as the tension increases in the direction toward the center of contraction (O) due to contraction occurring within the contraction area. A red expansion area occurs.

Referring to Figures 5 and 6, if one coagulation area does not contact each other and is separated, the uncoagulated skin in between stretches (compensatory expansion), reducing the overall area reduction effect. Conversely, if overlap between coagulation regions occurs, there is a risk that the temperature will rise too much (e.g., over about 80 degrees Celsius) and the covalent bonds inside the collagen molecule will break down and dissolve.

Figure 7 shows a process in which the preprocessor 100 calculates location data according to an embodiment of the present invention.

Referring to FIG. 7, the pre-processing unit 100 calculates and stores location data (A) of landmarks on the skin surface before the skin treatment from the image taken before the skin treatment, and stores the location data (A) of the landmarks on the skin surface before the skin treatment. In the captured image after the skin treatment, as the positions of the landmarks before the skin treatment move to the center of contraction (O), location data (B) of the landmarks after the skin treatment on the skin surface are calculated and stored. .

Thereafter, the positional data (A) of the landmarks before the skin treatment on the skin surface is expressed as A[(i, j)ij], and the positional data (B) of the landmarks after the skin treatment on the skin surface are expressed as B[ It is expressed as (i', j')ij]. That is, to explain in more detail, as an embodiment of the present invention, location data (A) of landmarks before treatment of the skin on the skin surface and location data (B) of landmarks after treatment of the skin on the skin surface ), the origin of the pixel coordinates on the images taken before and after the skin treatment is the upper left corner of the image, and the two-dimensional orthogonal system consists of the i-axis going down along the vertical line and the j-axis going right along the horizontal line. A matrix A expressed in a coordinate system, with the coordinates (i, j) of each pixel on the image data as elements in row i and column j.It is expressed as

The position data (B) of the landmarks after the skin treatment on the skin surface is the coordinates (i', j') of the point where each element [(i, j)ij] of the (A) arrives after the contraction as an element. It can be expressed as a matrix [(i', j')ij].

Figure 8 shows the displacement calculation unit 200 calculating displacement data (D) according to an embodiment of the present invention.

Referring to FIG. 8, the displacement calculation unit 200 converts the location data of the skin landmark derived from the pre-processing unit into a vector (

It is expressed as displacement data (D) expressed in ij). Here, as an example of the displacement data (D), D = [(i' - i, j' - j)ij] = [

ij]

Referring to FIG. 9, the boundary derivation unit 300 includes a graph derivation unit 300a and a boundary calculation unit 300b. In the case of the graph deriving unit 300a, based on the landmark position data (A) before the procedure, the position data of the center of contraction (O), and the displacement data (D), each landmark on a straight line passing through the center of contraction (O) A graph of the displacement after the procedure is derived relative to the distance from the center of contraction (O) before the procedure. The boundary calculation unit 300b calculates the distance (R) from the shrinkage center (O) to the boundary of the shrinkage area based on the graph analysis result data derived from the graph derivation portion (300a).

Figure 10 shows the process by which the graph deriving unit 300a calculates the position of the center of contraction (O) according to an embodiment of the present invention.

Referring to FIG. 10, even when the location of the center of contraction (O) is not known, the graph generating unit (300a) calculates the center of contraction (O) based on the position data (A) and the displacement data (D) before the procedure. Location data can be calculated. That is, to explain in more detail, the graph generating unit 300a determines the location of the center of contraction (O) corresponding to the location of the focus where the energy-based medical device applied energy based on (D), which is the landmark displacement data. Setting the data, the position data of the center of contraction (O) is the location of the point where the landmark points on the skin surface were commonly oriented during skin coagulation following the procedure, and each element (i, j) of (A) The points corresponding to ij are elements of (D), which is the landmark displacement data.

Set the position of the intersection of straight lines passing in the direction of the ij vector to (io, jo).

Referring to FIG. 11, the graph generating unit 300a inputs the position data and displacement data and calculates the desired angle (O) for the center of contraction (O) in the image taken before the procedure.

It is possible to derive a graph of the distance (displacement) each point moves toward the center of contraction (O) for each point on the straight line passing through ). In embodiments of the present invention, the graph generating unit 300a sets the treatment shrinkage center (O) of the skin at a desired angle (

), a graph of the displacement after the procedure is derived for the distance from the center of contraction (O) before the procedure for each landmark on the straight line passing through ), and the center of contraction (O) of the skin (io, jo,Based on 0), it moves in parallel by -io on the i-axis and -jo on the j-axis, and the angle passing through the center of treatment contraction (O) of the skin on the k-axis (

) to derive the graph of k against i in the ik plane (j = 0). That is, to explain in more detail, the values corresponding to the i and j axes in the three-dimensional orthogonal coordinate system to which the k axis is added in the i-axis-j axis orthogonal coordinate system are the elements of (A) [(i, j) ij] as the i and j values, and the value corresponding to the k-axis is the size of the vector element of (D) corresponding to the element [(i, j)] of (A).

The point [i, j,

] can be expressed as a graph, and the center of symmetry is located on the k-axis by moving it by -io on the i-axis and -jo on the j-axis, and then placing the center of symmetry on the k-axis, and then the angle (

), it can be expressed as a graph of k against i on the ik plane (j = 0). In the graph derivation process, the location of the solidification center (O) is not given, and a method for calculating the displacement distribution graph for all straight lines passing through the unknown solidification center (O) is explained. However, the location of the solidification center (O) is not given. If you know in advance or only want to obtain a displacement graph on one straight line, the corresponding step in the graph derivation process can be omitted. Afterwards, the boundary calculation unit 300b calculates the size and shape of the contracted area.

Figure 12 is a process in which the boundary calculation unit 300b calculates the size and shape of the contraction area of the solidification center according to an embodiment of the present invention.

Referring to Figure 12, the boundary calculation unit 300b is a horizontal line passing through the center of treatment contraction (O) of the skin.

= 0) Derive a regression curve graph of the distance each point moves toward the treatment shrinkage center (O) of the skin for each location on the regression curve, from the shrinkage center (O) to the point where the slope of the tangent is 0. Based on the distance and approximation of , the distance from the center of contraction (O) to the border (R) of the contraction area is calculated from the image taken before the procedure. Therefore, it is possible to derive a regression curve for a scatter plot composed of discontinuous values obtained from actual observations.

As an embodiment of the present invention, the graph drawing unit 300a determines the desired angle (O) for the center of contraction (O) in the image taken before the procedure.

The graph of the distance (displacement) each point moves toward the center of contraction (O) for each point on the straight line passing through ) is a distribution curve D(i) (lognormal distribution, chi-square distribution, F distribution) with positive numbers as elements. etc. and other distribution curves with positive numbers as elements). Accordingly, the distance (i) from the shrinkage center (O) to the element of the pre-operative position data (A) derived from the pre-processing unit 100 to the element of the post-operative position data (B) corresponding to the element The graph of distance (i') can be expressed as B(i) = i - D(i). Accordingly, the boundary calculation unit 300b calculates the distance (i) from the shrinkage center (O) to the element of the pre-procedure position data (A) derived from the pre-processing unit 100, post-procedural position data corresponding to the element ( The i coordinate at the point where the slope B'(i) of the tangent line on the curve B(i), which regresses the graph of the distance (i') to the element of B), is 1, contracts from the shrinkage center (O) in the same direction. The size and shape of the contracted area can be derived based on the fact that it is close to the distance to the boundary (R) of the area.

In addition, as an embodiment of the present invention, the boundary calculation unit 300b determines the mode of the distribution, that is, the slope of the tangent line, when the cross section of the displacement graph derived from the graph derivation unit 300a regresses to a distribution curve with positive numbers as elements. The i coordinate at the highest point where and shape can be calculated. Since the distance from the shrinkage center (O) to the boundary (R) of the shrinkage area may vary depending on the direction of the straight line passing through the shrinkage center (O), the three-dimensional graph derived from the graph deriving unit 300a is drawn from the shrinkage center (O). By rotating it by a desired angle based on It is the same as finding .

= 0) This is the calculation process.

Referring to FIG. 13, based on the landmark location data pre-processed in the pre-processing unit 100, location data before the procedure (A) and location data after the procedure (B) can be obtained. Thereafter, the displacement calculation unit 200 calculates displacement D(i), which is a change in position data for each coagulation point of the skin, based on the position data acquired by the preprocessor 100. The position of the center of contraction (O) is already known or the displacement calculation unit 200 calculates and obtains it as described in the embodiment of the graph derivation unit 300a, and then the graph derivation unit 300a derives a graph using this value. do. In order to calculate the size and shape of the shrinkage area in the boundary calculation unit 300b, the cross section of the graph moved to the origin of the virtual coordinate system is regressed to the lognormal distribution with a regression coefficient of 0.6 or more (R ² = 0.9562), and therefore the scatter diagram is D ( i) =

It can be judged that it is not different from the population following the lognormal distribution. The highest point in the regressed displacement distribution curve D(i) corresponds to the mode, and the slope of the tangent line D'(i) at this point is 0. Mode from lognormal distribution

is (e: natural constant,

: average,

: standard deviation), so the i value and i' value that satisfy D'(i) = 0 can be obtained using the probability density function equation. Therefore, by providing information about the shape and size of the contracted area derived through the boundary deriving unit 300 to the operator or device, the optimal state shown in Figures 5 and 6 is achieved, that is, the boundaries of the contracted area are in contact with each other. A state can be implemented.

According to the skin surface displacement-based device parameter calculation system described above, the following effects are achieved. First, using energy-based medical devices, it is possible to derive the displacement of each point on the skin surface that contracts during treatment at one focus of the skin. Second, the location of the center of contraction caused by the procedure can be derived based on photos taken before and after the procedure. Third, based on the data derived above, the pattern of skin contraction caused by the procedure can be quantitatively expressed. Fourth, the pattern of skin contraction, which varies depending on the patient receiving the procedure and the area, and the type and output of the device, can be quantitatively expressed each time the system is applied. Fifth, during the above procedure, the data necessary to derive the optimal next treatment location or treatment output can be generated based on mathematical calculations rather than the operator's intuition. Sixth, by combining the distribution information on the contraction pattern of the skin of various areas in one treatment subject, we calculate and propose a two-dimensional arrangement and order of several treatment points to realize changes to the desired appearance by manipulating the position of each skin point. can do.

Although the detailed description of the present invention described above has been described with reference to preferred embodiments of the present invention, those skilled in the art or those skilled in the art will understand the spirit of the present invention as described in the patent claims to be described later. It will be understood that the present invention can be modified and changed in various ways without departing from the technical scope.

The skin surface displacement-based device parameter calculation system can be installed in various energy-based medical devices such as fractional fine needle high frequency, fractional laser, and high-intensity focused ultrasound, and cosmetic effects can be achieved through automatic calculation and calculated values of skin plane contraction. It can be maximized. Therefore, the skin surface displacement-based device parameter calculation system can be applied to the skin care, care, and medical industries.

Claims

By taking as input images taken before and after skin treatment using an energy based medical device,

A pre-processing unit that pre-processes skin landmarks in images taken before and after the skin treatment into location data;

A displacement calculation unit that derives landmark displacement data from the landmark position data of the skin derived from the pre-processing unit and derives position data of the center of contraction (O) based on the landmark displacement data;

A skin surface displacement-based device parameter calculation system comprising a boundary derivation unit that derives the boundary of the contraction area from the treatment contraction center (O) of the skin.
The method of claim 1, wherein the energy based medical device (energy based medical device),

Applying energy to one focus of the skin causes a local temperature increase, creating a contraction area based on one focus of the skin,

A skin surface displacement-based device factor calculation system comprising high-frequency, laser, and high-intensity focused ultrasound (HIFU) devices.
The method of claim 1, wherein the skin landmark is,

In images taken before and after skin treatment using the energy based medical device,

It is a reference point that allows tracking the change in position of the skin treatment target area before and after the treatment.

A skin surface displacement-based device parameter calculation system comprising: dots or lines marked with pigment, sweat glands, hair glands, sebaceous glands, pigmented lesions, moles, skin tumors, blood vessels, and wrinkle lines on the skin surface.
The method of claim 1, wherein the preprocessing unit,

From images taken before skin treatment, location data (A) of landmarks on the skin surface before treatment is calculated and stored,

As the positions of pre-treatment landmarks of the skin on the skin surface move to the center of contraction (O) due to skin treatment,

A device parameter calculation system based on skin surface displacement, characterized in that, in an image taken after a skin treatment, the location data (B) of landmarks on the skin surface after the treatment is calculated and stored.
The method of claim 4, wherein the preprocessing unit,

Location data (A) of landmarks before the skin treatment on the skin surface

It is expressed as A[(i, j)ij],

Position data (B) of landmarks after the skin treatment on the skin surface

A skin surface displacement-based device factor calculation system comprising what is represented by B[(i', j')ij].
The method of claim 5, wherein the displacement calculation unit,

Based on the location data of the skin landmark derived from the preprocessor,

A displacement vector reflecting the result of moving the skin from pre-treatment location data to post-treatment location data is calculated as the landmark displacement data (D),

(D) is a skin surface displacement-based device factor calculation system, characterized in that represented by [(i' - i, j' - j)ij].
The method of claim 1, wherein the boundary derivation unit,

Based on the landmark displacement data, the energy-based medical device passes through the center of contraction (O) corresponding to the location of the focus where energy was applied.
a graph drawing unit that derives a graph of the displacement of each point toward the center of contraction (O) for each position on a straight line passing at an angle;

Based on the graph analysis result data derived from the graph derivation section,

A skin surface displacement-based device parameter calculation system comprising a boundary calculation unit that calculates the distance (R) from the center of contraction (O) to the boundary of the contraction area.
The method of claim 7, wherein the graph deriving unit,

Based on the landmark displacement data (D), position data of the center of contraction (O) corresponding to the position of the focus where energy is applied by the energy-based medical device is set,

The position data of the shrinkage center (O) is,

This is the location of the point where the landmark points on the skin surface were commonly oriented during skin coagulation following the procedure,

The points corresponding to each element (i, j)ij of the location data (A) of the landmarks on the skin surface before the treatment are elements of (D), which is the landmark displacement data.
A device parameter calculation system based on skin surface displacement, characterized in that the position of the intersection of straight lines passing in the direction of the ij vector is set to (io, jo).
The method of claim 7, wherein the graph deriving unit,

Center of contraction (O) of the skin (io, jo, Based on 0),

It moves in parallel by -io on the i-axis and -jo on the j-axis.

The angle passing through the center of treatment contraction (O) of the skin on the k-axis (
) by rotating,

A skin surface displacement-based instrument factor calculation system characterized by deriving a graph of k against i in the ik plane (j = 0).
The method of claim 7, wherein the boundary calculation unit,

A horizontal line passing through the center of treatment contraction (O) of the skin (
= 0) Derive a regression curve graph of the distance each point moves toward the treatment shrinkage center (O) of the skin for each position on the image,

Based on the distance and approximation from the center of contraction (O) to the point where the slope of the tangent becomes 0 on the regression curve, the distance from the center of contraction (O) to the border (R) of the contraction area is calculated in the image taken before the procedure. A device factor calculation system based on skin surface displacement.